Micro-Star International Co., Ltd. MS-7A33
Geekbench AI Score
2181
Single Precision Score
989
Half Precision Score
2448
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | goofball |
| Upload Date | July 06 2025 03:58 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 3700X |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7A33 |
| Motherboard | MSI X370 SLI PLUS (MS-7A33) |
| Power Plan | AMD Ryzen Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 3700X |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 23 Model 113 Stepping 0 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1563
290.6 IPS |
|
|
Image Classification (HP)
|
100% |
366
68.1 IPS |
|
|
Image Classification (Q)
|
96% |
2595
484.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1227
19.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
534
8.66 IPS |
|
|
Image Segmentation (Q)
|
97% |
1417
23.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
4299
5.02 IPS |
|
|
Pose Estimation (HP)
|
100% |
3308
3.86 IPS |
|
|
Pose Estimation (Q)
|
86% |
5392
6.37 IPS |
|
|
Object Detection (SP)
|
100% |
1503
119.2 IPS |
|
|
Object Detection (HP)
|
100% |
448
35.5 IPS |
|
|
Object Detection (Q)
|
58% |
1601
174.9 IPS |
|
|
Face Detection (SP)
|
100% |
2895
34.4 IPS |
|
|
Face Detection (HP)
|
100% |
1002
11.9 IPS |
|
|
Face Detection (Q)
|
96% |
4936
58.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
4729
36.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1499
11.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
5725
45.7 IPS |
|
|
Style Transfer (SP)
|
100% |
8906
11.4 IPS |
|
|
Style Transfer (HP)
|
100% |
7328
9.42 IPS |
|
|
Style Transfer (Q)
|
87% |
9572
12.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1335
49.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1298
47.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1507
55.8 IPS |
|
|
Text Classification (SP)
|
100% |
922
1.23 KIPS |
|
|
Text Classification (HP)
|
100% |
445
594.2 IPS |
|
|
Text Classification (Q)
|
97% |
357
478.3 IPS |
|
|
Machine Translation (SP)
|
100% |
1315
22.6 IPS |
|
|
Machine Translation (HP)
|
100% |
490
8.43 IPS |
|
|
Machine Translation (Q)
|
68% |
1679
32.4 IPS |
